UNIT I:
Introduction � knowledge � based information processing � neutral and fuzzy machine intelligence � fuzziness as multivalance � dynamical system approach to machine intelligence � the brain as a dynamical system � intelligent behaviors as adaptive model free estimation

UNIT II:
Neuoranal dynamics � activation signals � neurons as function � biological activation and signals � neuron fields � neuron dynamical system, common signal function plug � coded signal function. Activation models neuoranal dynamical system � additive neuronal dynamics � auditive neuronal feedback- additive and bivalent model

UNIT III:
Learning : supervised and unsupervised statistical learning � ai learning-neural neteork learning back propagation algorithm and derivation � stopping criteria complexity of learning generalization

UNIT IV:
Fuzzy logic : fuzzy sets and system � universe as a fuzzy sets � geometry of fuzzy sets. Fuzzy and neural function estimation, fuzzy sets . fuzzy and neural function estimation , fuzzy and meta-model controllers � real line target tracking � fuzzy controller � fuzzy and kalman � filter controller surfaces.

Hopfiled networks : The hopfield model � hopfield network algorithm. Bollizman�s machine algorithm � neral network and fuzzy system apllication.

Text Book:
1. BART KOSKO, Neural networks and fuzzy structures

Reference Books:
1. Limin Fr. Neural Networks in computer Intelligence, Mc Graw Hill Publications, Company
2. James A.Freeman, Similarity Neural Networks, Adison Wesley Publications Company.